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Attention-based Fault-tolerant Approach for Multi-agent Reinforcement
  Learning Systems

Attention-based Fault-tolerant Approach for Multi-agent Reinforcement Learning Systems

5 October 2019
Mingyang Geng
Kele Xu
Yiying Li
Shuqi Liu
Bo Ding
Huaimin Wang
    AAML
ArXivPDFHTML

Papers citing "Attention-based Fault-tolerant Approach for Multi-agent Reinforcement Learning Systems"

12 / 12 papers shown
Title
Learning to Schedule Communication in Multi-agent Reinforcement Learning
Learning to Schedule Communication in Multi-agent Reinforcement Learning
Daewoo Kim
Sang-chul Moon
D. Hostallero
Wan Ju Kang
Taeyoung Lee
Kyunghwan Son
Yung Yi
50
206
0
05 Feb 2019
Multi-agent Deep Reinforcement Learning with Extremely Noisy
  Observations
Multi-agent Deep Reinforcement Learning with Extremely Noisy Observations
Ozsel Kilinc
Giovanni Montana
44
26
0
03 Dec 2018
Actor-Attention-Critic for Multi-Agent Reinforcement Learning
Actor-Attention-Critic for Multi-Agent Reinforcement Learning
Shariq Iqbal
Fei Sha
57
743
0
05 Oct 2018
Learning Attentional Communication for Multi-Agent Cooperation
Learning Attentional Communication for Multi-Agent Cooperation
Jiechuan Jiang
Zongqing Lu
42
484
0
20 May 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
222
8,236
0
04 Jan 2018
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Ryan J. Lowe
Yi Wu
Aviv Tamar
J. Harb
Pieter Abbeel
Igor Mordatch
116
4,441
0
07 Jun 2017
Counterfactual Multi-Agent Policy Gradients
Counterfactual Multi-Agent Policy Gradients
Jakob N. Foerster
Gregory Farquhar
Triantafyllos Afouras
Nantas Nardelli
Shimon Whiteson
54
2,062
0
24 May 2017
Learning Multiagent Communication with Backpropagation
Learning Multiagent Communication with Backpropagation
Sainbayar Sukhbaatar
Arthur Szlam
Rob Fergus
156
1,139
0
25 May 2016
Learning to Communicate to Solve Riddles with Deep Distributed Recurrent
  Q-Networks
Learning to Communicate to Solve Riddles with Deep Distributed Recurrent Q-Networks
Jakob N. Foerster
Yannis Assael
Nando de Freitas
Shimon Whiteson
39
147
0
08 Feb 2016
Multiagent Cooperation and Competition with Deep Reinforcement Learning
Multiagent Cooperation and Competition with Deep Reinforcement Learning
Ardi Tampuu
Tambet Matiisen
Dorian Kodelja
Ilya Kuzovkin
Kristjan Korjus
Juhan Aru
Jaan Aru
Raul Vicente
83
864
0
27 Nov 2015
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
193
13,174
0
09 Sep 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
842
149,474
0
22 Dec 2014
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